Triple

T12379713
Position Surface form Disambiguated ID Type / Status
Subject The Contours E295713 entity
Predicate notableWork P4 FINISHED
Object You Get Ugly E974846 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: You Get Ugly | Statement: [The Contours, notableWork, You Get Ugly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Get Ugly
Context triple: [The Contours, notableWork, You Get Ugly]
  • A. You Get Ugly chosen
    "You Get Ugly" is a song that appears as the B-side to the single "Do You Love Me."
  • B. Ugly Truth
    "Ugly Truth" is a song by the American rock band Soundgarden from their 1989 album Louder Than Love.
  • C. Double Ugly
    Double Ugly is an informal nickname for the McDonnell F-4 Phantom II, a powerful and versatile American tandem two-seat, twin-engine fighter-bomber widely used during the Cold War and Vietnam War.
  • D. U Got Me Fucked Up
    "U Got Me Fucked Up" is a track by Chance the Rapper from his breakout mixtape *10 Day*, showcasing his early blend of witty lyricism and offbeat, melodic rap style.
  • E. The Ugly Truth
    The Ugly Truth is a 2009 romantic comedy film starring Katherine Heigl and Gerard Butler that explores the clash between idealistic romance and blunt relationship advice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fb9eca48190aa6612ffc5ed0df2 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.